Loreto Mateu

939 citations
28 papers · 758 · h-index 12

Impact in

Papers in

Loreto Mateu

26 papers receiving 713 citations

Peers

Loreto Mateu
Comparison fields: 5 of 43
  • Mechanical Engineering 572
  • Electrical and Electronic Engineering 565
  • Biomedical Engineering 384
  • Nuclear Energy and Engineering 3
  • Civil and Structural Engineering 62
Replace Mingjie Guan with:
Mingjie Guan China
PD Mitcheson United Kingdom
Eric J. Carleton United States
Izhar Izhar Hong Kong
B. Folkmer Germany
Michele Pozzi United Kingdom
Tom Sterken Belgium
Slim Naifar Germany
Sijun Du Netherlands
Pierre Gasnier France
Loreto Mateu relative to Mingjie Guan China Mingjie Guan's profile →
Citations per field
00.5×1.5×2.3×
Mingjie Guan · 1×
Citations per year

Countries citing papers authored by Loreto Mateu

Since Specialization
Citations

This map shows the geographic impact of Loreto Mateu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Loreto Mateu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loreto Mateu more than expected).

Fields of papers citing papers by Loreto Mateu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Loreto Mateu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Loreto Mateu. The network helps show where Loreto Mateu may publish in the future.

Co-authors

The 18 scholars most cited alongside Loreto Mateu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Loreto Mateu Line = papers co-authored together Loreto Mateu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005233
2 2005183
3
Review of Energy Harvesting Techniques and Applications for Microelectronics
200883
4 200758
5 200642
6 201428
7
Step-up DC-DC-converter with coupled inductors for low input voltages
200820
8 200715
9 200715
10 200714
11 201113
12 201411
13
ANALOG MAXIMUM POWER POINT CIRCUIT APPLIED TO THERMOGENERATORS
200810
14 20207
15
DC-DC-CONVERTER WITH INPUT POLARITY DETECTOR FOR THERMOGENERATORS
20095
16 20194
17 20163
18 20233
19 20132
20 20052

About Loreto Mateu

Loreto Mateu is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Biomedical Engineering, Artificial Intelligence and Automotive Engineering, having authored 28 papers that have together received 758 indexed citations. Recurring topics across this work include Innovative Energy Harvesting Technologies (19 papers), Energy Harvesting in Wireless Networks (17 papers), Wireless Power Transfer Systems (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Advanced Battery Technologies Research (2 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Mechanical Engineering (572 citations), Electrical and Electronic Engineering (565 citations), Biomedical Engineering (384 citations), Nuclear Energy and Engineering (3 citations) and Civil and Structural Engineering (62 citations). Loreto Mateu has collaborated with scholars based in Germany, Spain and Sweden. Frequent co-authors include Francesc Moll, Peter Spies, Bengt Hagström, Iker Mayordomo, Ginés Doménech‐Asensi, Roland Müller, Carlos Villavieja, José Ignacio Gárate, Alexander Koehler and Bijoy Kundu. Their work appears in journals such as Sensors and Actuators A Physical, Journal of Intelligent Material Systems and Structures, IEEE Transactions on Magnetics, Applied Sciences and Lecture notes in computer science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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